Class-specific differential detection in diffractive optical neural networks improves inference accuracy

Jingxi Li; Deniz Mengu; Yi Luo; Yair Rivenson; Aydogan Ozcan

doi:10.1117/1.AP.1.4.046001

Advanced Photonics, Volume. 1, Issue 4, 046001(2019)

Class-specific differential detection in diffractive optical neural networks improves inference accuracy

Jingxi Li^1,2,3、†, Deniz Mengu^1,2,3, Yi Luo^1,2,3, Yair Rivenson^1,2,3, and Aydogan Ozcan^1,2,3、*

¹University of California at Los Angeles, Department of Electrical and Computer Engineering, Los Angeles, California, United States

²University of California at Los Angeles, Department of Bioengineering, Los Angeles, California, United States

³University of California at Los Angeles, California NanoSystems Institute, Los Angeles, California, United States

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Jingxi Li, Deniz Mengu, Yi Luo, Yair Rivenson, Aydogan Ozcan, "Class-specific differential detection in diffractive optical neural networks improves inference accuracy," Adv. Photon. 1, 046001 (2019)

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Paper Information

Category: Research Articles

Received: Jun. 10, 2019

Accepted: Jul. 17, 2019

Posted: Jul. 30, 2019

Published Online: Aug. 13, 2019

The Author Email: Ozcan Aydogan (ozcan@ucla.edu)

DOI:10.1117/1.AP.1.4.046001

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology